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说明：  bp是MATLAB应用中的预测算法，含有例题(BP and MATLAB)

说明：  四阶Runge-kuta求解算法matlab代码 含一篇文献介绍(Fourth-order algorithm lunge-kuta)

Neural Networks second edition simon hoykin matlab

matlab fingerprint extraction

RS-code performance vs BCH-code performance in a communication system.

Blackamnn Tukey spectral estimation method

UG586 - Zynq-7000 All Programmable SoC and 7 Series Devices Memory Interface Solutions v2.3 User Guide ( ver2.3, 18511 KB )(UG586- Zynq-7000 All Programmable SoC and 7 Series Devices Memory Interface Solutions v2.3 User Guide ( ver2.3, 18511 KB ))

MATLAB时频分析工具箱，很简单实用，能够满足基本时频分析使用(MATLAB toolbox for Time-Frequency Analysis )

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

bfsk的调制部分，基于MATLAB平台。(the modulation of bfsk)